Methods and apparatus for in-loop de-artifact filtering

ABSTRACT

There are provided methods and apparatus for in-loop artifact filtering. An apparatus includes an encoder for encoding an image region. The encoder has at least two filters for successively performing in-loop filtering to respectively reduce at least a first and a second type of quantization artifact.

CROSS-REFERENCE TO APPLICATIONS

This application is a continuation application of U.S. Non-Provisionalpatent application Ser. No. 14/981,345, filed Dec. 28, 2015, which isitself a continuation application of Ser. No. 12/312,386 filed May 7,2009, which was patented on Mar. 1, 2016, U.S. Pat. No. 9,277,243, whichclaims the benefit under 35 U.S.C. § 365 of International ApplicationPCT/US2007/022795, filed Oct. 25, 2007, which claims the benefit of U.S.Provisional Patent Application Ser. No. 60/864,917 filed Nov. 8, 2006;and all of which are incorporated by reference herein in theirrespective entireties.

TECHNICAL FIELD

The present principles relate generally to video encoding and decodingand, more particularly, to methods and apparatus for in-loop de-artifactfiltering.

BACKGROUND

All video compression artifacts result from quantization, which is theonly lossy coding part in a hybrid video coding framework. However,those artifacts can be present in various forms such as, for example, asa blocky artifact, a ringing artifact, an edge distortion, and/ortexture corruption. In general, the decoded sequence may be composed ofall types of visual artifacts, but with different severances. Among thedifferent types of visual artifacts, blocky artifacts are common inblock-based video coding. These artifacts can originate from both theblock-based transform stage in residue coding and from the motioncompensation stage. Adaptive deblocking filters have been studied in thepast and some well-known deblocking filtering methods have been proposedand adopted in various standards (such as those adopted in, for example,the International Organization for Standardization/InternationalElectrotechnical Commission (ISO/IEC) Moving Picture Experts Group-4(MPEG-4) Part 10 Advanced Video Coding (AVC) standard/InternationalTelecommunication Union, Telecommunication Sector (ITU-T) H.264recommendation (hereinafter the “MPEG-4 AVC standard”). When designedwell, a deblocking filter can improve both objective and subjectivevideo quality. In state of the art video encoders and/or decoders suchas, for example, those corresponding to the MPEG-4 AVC Standard, anadaptive in-loop deblocking filter is designed to reduce blockyartifacts, wherein the strength of filtering is controlled by the valuesof several syntax elements. The basic idea is that if a relatively largeabsolute difference between samples near a block edge is measured, thatdifference is likely a blocking artifact and should thus be reduced.However, if the magnitude of that difference is so large that it cannotbe explained by the coarseness of the quantization used in the encoding,the edge is more likely to reflect the actual behavior of the sourcepicture and should not be smoothed over. In this way, the blockiness ofthe content is reduced, while the sharpness of the content is basicallyunchanged. The deblocking filter is adaptive on several levels. On theslice level, the global filtering strength can be adjusted to theindividual characteristics of the video sequence. On the block-edgelevel, filtering strength is made dependent on the inter/intraprediction decision, motion differences, and the presence of codedresiduals in the two neighboring blocks. On macroblock boundaries,special strong filtering is applied to remove “tiling artifacts”. On thesample level, sample values and quantizer-dependent thresholds can turnoff filtering for each individual sample.

Deblocking filtering in accordance with the MPEG-4 AVC Standard is welldesigned to reduce the blocky artifact, but it does not try to correctother artifacts caused by quantization noise. For example, deblockingfiltering in accordance with the MPEG-4 AVC Standard leaves edges andtextures untouched. Thus, it cannot improve distorted edges or texture.One reason for this lack of capability is that the MPEG-4 AVC Standarddeblocking filter applies a smooth image model and the designed filterstypically include a bank of low-pass filters. However, images includemany singularities, texture, and so forth and, thus, they are nothandled correctly by the MPEG-4 AVC Standard deblocking filter.

In order to overcome the limitations of the MPEG-4 AVC Standarddeblocking filter, an approach has been recently proposed involving ade-noising type nonlinear in-loop filter. In this proposed approach, anonlinear de-noising filter adapts to non-stationary image statisticswhich exploits a sparse image model using an over complete set of lineartransforms and hard-thresholding. The nonlinear de-noising filterautomatically becomes high-pass, or low-pass, or band-pass, and soforth, depending on the region the filter is operating on. The nonlinearde-noising filter can address all types of quantization noise. Thisparticular de-noising approach basically includes three steps:transform; transform coefficients threshold; and inverse transform. Thenseveral de-noised estimates provided by de-noising with an over completeset of transforms (typically produced by applying de-noising withshifted versions of the same transform) are combined using weightedaveraging at every pixel.

Sparsity based de-noising tools could reduce quantization noise overvideo frames that include locally uniform regions (smooth, highfrequency, texture, and so forth) separated by singularities. However,the de-noising tool was designed for additive, independent andidentically distributed (i.i.d.) noise removal, while quantization noisehas significantly different properties, which can present significantissues in terms of proper distortion reduction and visualde-artifacting. This implies that these techniques may get confused bytrue edges or false blocky edges. A possibility for a solution isspatio-frequential threshold adaptation, which may be able to correctthe decision, but it is not trivial in its implementation. A possibleconsequence of inadequate threshold selection is that sparse de-noisingmight result into over-smoothed reconstructed pictures, or a blockyartifact(s) may still be present despite the filtering procedure. Inparticular, for the smooth picture regions, the signal as well as theblocky artifact added to the signal would probably have sparserepresentation at the filtering stage if the same transform is used forcompression and denoising. So a thresholding operation would probablystill keep the artifact. At present, it has been observed that sparsitybased de-noising techniques, even though they present a higherdistortion reduction in terms of objective measures (e.g., mean squarederror (MSE)) than other techniques, they may present important visualartifacts that need to be addressed.

It has been observed that the use of a single de-noising filter is notvery efficient or effective in removing coding artifacts. The reason forthis is that a general purpose de-noising filter is usually based on adistortion model which does not exactly match the actual scenario towhich it is applied. This model does not consider the local structure ofblocky artifact. A special purpose de-artifacting filter, on the otherhand, is designed to relieve a certain type of artifact. Accordingly, aspecial purpose de-noising filter is not sufficient to correct the restof the quantization noises. For example, the in-loop deblocking filterused in the MPEG-4 AVC Standard is a special purpose filter which is notdesigned to remove the noise/artifacts at pixels away from theboundaries, within textures or to correct the distorted edges.

Turning to FIG. 1, a video encoder capable of performing video encodingin accordance with the MPEG-4 AVC standard is indicated generally by thereference numeral 100.

The video encoder 100 includes a frame ordering buffer 110 having anoutput in signal communication with a non-inverting input of a combiner185. An output of the combiner 185 is connected in signal communicationwith a first input of a transformer and quantizer 125. An output of thetransformer and quantizer 125 is connected in signal communication witha first input of an entropy coder 145 and a first input of an inversetransformer and inverse quantizer 150. An output of the entropy coder145 is connected in signal communication with a first non-invertinginput of a combiner 190. An output of the combiner 190 is connected insignal communication with a first input of an output buffer 135.

A first output of an encoder controller 105 is connected in signalcommunication with a second input of the frame ordering buffer 110, asecond input of the inverse transformer and inverse quantizer 150, aninput of a picture-type decision module 115, an input of amacroblock-type (MB-type) decision module 120, a second input of anintra prediction module 160, a second input of a deblocking filter 165,a first input of a motion compensator 170, a first input of a motionestimator 175, and a second input of a reference picture buffer 180.

A second output of the encoder controller 105 is connected in signalcommunication with a first input of a Supplemental EnhancementInformation (SEI) inserter 130, a second input of the transformer andquantizer 125, a second input of the entropy coder 145, a second inputof the output buffer 135, and an input of the Sequence Parameter Set(SPS) and Picture Parameter Set (PPS) inserter 140.

A first output of the picture-type decision module 115 is connected insignal communication with a third input of a frame ordering buffer 110.A second output of the picture-type decision module 115 is connected insignal communication with a second input of a macroblock-type decisionmodule 120.

An output of the Sequence Parameter Set (SPS) and Picture Parameter Set(PPS) inserter 140 is connected in signal communication with a thirdnon-inverting input of the combiner 190.

An output of the inverse quantizer and inverse transformer 150 isconnected in signal communication with a first non-inverting input of acombiner 119. An output of the combiner 119 is connected in signalcommunication with a first input of the intra prediction module 160 anda first input of the deblocking filter 165. An output of the deblockingfilter 165 is connected in signal communication with a first input of areference picture buffer 180. An output of the reference picture buffer180 is connected in signal communication with a second input of themotion estimator 175. A first output of the motion estimator 175 isconnected in signal communication with a second input of the motioncompensator 170. A second output of the motion estimator 175 isconnected in signal communication with a third input of the entropycoder 145.

An output of the motion compensator 170 is connected in signalcommunication with a first input of a switch 197. An output of the intraprediction module 160 is connected in signal communication with a secondinput of the switch 197. An output of the macroblock-type decisionmodule 120 is connected in signal communication with a third input ofthe switch 197. The third input of the switch 197 determines whether ornot the “data” input of the switch (as compared to the control input,i.e., the third input) is to be provided by the motion compensator 170or the intra prediction module 160. The output of the switch 197 isconnected in signal communication with a second non-inverting input ofthe combiner 119 and with an inverting input of the combiner 185.

Inputs of the frame ordering buffer 110 and the encoder controller 105are available as input of the encoder 100, for receiving an inputpicture 101. Moreover, an input of the Supplemental EnhancementInformation (SEI) inserter 130 is available as an input of the encoder100, for receiving metadata. An output of the output buffer 135 isavailable as an output of the encoder 100, for outputting a bitstream.

Turning to FIG. 2, a video decoder capable of performing video decodingin accordance with the MPEG-4 AVC standard is indicated generally by thereference numeral 200.

The video decoder 200 includes an input buffer 210 having an outputconnected in signal communication with a first input of the entropydecoder 245. A first output of the entropy decoder 245 is connected insignal communication with a first input of an inverse transformer andinverse quantizer 250. An output of the inverse transformer and inversequantizer 250 is connected in signal communication with a secondnon-inverting input of a combiner 225. An output of the combiner 225 isconnected in signal communication with a second input of a deblockingfilter 265 and a first input of an intra prediction module 260. A secondoutput of the deblocking filter 265 is connected in signal communicationwith a first input of a reference picture buffer 280. An output of thereference picture buffer 280 is connected in signal communication with asecond input of a motion compensator 270.

A second output of the entropy decoder 245 is connected in signalcommunication with a third input of the motion compensator 270 and afirst input of the deblocking filter 265. A third output of the entropydecoder 245 is connected in signal communication with an input of adecoder controller 205. A first output of the decoder controller 205 isconnected in signal communication with a second input of the entropydecoder 245. A second output of the decoder controller 205 is connectedin signal communication with a second input of the inverse transformerand inverse quantizer 250. A third output of the decoder controller 205is connected in signal communication with a third input of thedeblocking filter 265. A fourth output of the decoder controller 205 isconnected in signal communication with a second input of the intraprediction module 260, with a first input of the motion compensator 270,and with a second input of the reference picture buffer 280.

An output of the motion compensator 270 is connected in signalcommunication with a first input of a switch 297. An output of the intraprediction module 260 is connected in signal communication with a secondinput of the switch 297. An output of the switch 297 is connected insignal communication with a first non-inverting input of the combiner225.

An input of the input buffer 210 is available as an input of the decoder200, for receiving an input bitstream. A first output of the deblockingfilter 265 is available as an output of the decoder 200, for outputtingan output picture.

SUMMARY

These and other drawbacks and disadvantages of the prior art areaddressed by the present principles, which are directed to methods andapparatus for in-loop de-artifact filtering.

According to an aspect of the present principles, there is provided anapparatus. The apparatus includes an encoder for encoding an imageregion. The encoder has at least two filters for successively performingin-loop filtering to respectively reduce at least a first and a secondtype of quantization artifact.

According to another aspect of the present principles, there is provideda method. The method includes encoding an image region. The encodingstep includes performing in-loop filtering to reduce at least a firstand a second type of quantization artifact respectively using at leasttwo filters in succession.

According to yet another aspect of the present principles, there isprovided an apparatus. The apparatus includes a decoder for decoding animage region. The decoder has at least two filters for successivelyperforming in-loop filtering to respectively reduce at least a first anda second type of quantization artifact.

According to still another aspect of the present principles, there isprovided a method. The method includes decoding an image region. Thedecoding step includes performing in-loop filtering to reduce at least afirst and a second type of quantization artifact respectively using atleast two filters in succession.

These and other aspects, features and advantages of the presentprinciples will become apparent from the following detailed descriptionof exemplary embodiments, which is to be read in connection with theaccompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The present principles may be better understood in accordance with thefollowing exemplary figures, in which:

FIG. 1 shows a block diagram for a video encoder capable of performingvideo encoding in accordance with the MPEG-4 AVC Standard;

FIG. 2 shows a block diagram for a video decoder capable of performingvideo decoding in accordance with the MPEG-4 AVC Standard;

FIG. 3 shows a block diagram for a video encoder capable of performingvideo encoding in accordance with the MPEG-4 AVC Standard, modifiedand/or extended for use with the present principles, according to anembodiment of the present principles;

FIG. 4 shows a block diagram for a video decoder capable of performingvideo decoding in accordance with the MPEG-4 AVC Standard, modifiedand/or extended for use with the present principles, according to anembodiment of the present principles;

FIG. 5 shows a diagram for an exemplary succession of de-artifactfilters, according to an embodiment of the present principles;

FIG. 6 shows a flow diagram for an exemplary method for encoding imagedata using in-loop de-artifact filtering, according to an embodiment ofthe present principles;

FIG. 7 shows a flow diagram for an exemplary method for decoding imagedata using in-loop de-artifact filtering, according to an embodiment ofthe present principles;

FIG. 8 shows an exemplary apparatus for performing quantizationconstraint set (QCS) coefficients correction after artifactremoval/reduction, according to an embodiment of the present principles;and

FIG. 9 shows exemplary quantization bins for an over-filtering problemand a correction approach using QCS in video encoding/decoding,according to an embodiment of the present principles.

DETAILED DESCRIPTION

The present principles are directed to methods and apparatus for in-loopde-artifact filtering.

The present description illustrates the present principles. It will thusbe appreciated that those skilled in the art will be able to devisevarious arrangements that, although not explicitly described or shownherein, embody the present principles and are included within its spiritand scope.

All examples and conditional language recited herein are intended forpedagogical purposes to aid the reader in understanding the presentprinciples and the concepts contributed by the inventor(s) to furtheringthe art, and are to be construed as being without limitation to suchspecifically recited examples and conditions.

Moreover, all statements herein reciting principles, aspects, andembodiments of the present principles, as well as specific examplesthereof, are intended to encompass both structural and functionalequivalents thereof. Additionally, it is intended that such equivalentsinclude both currently known equivalents as well as equivalentsdeveloped in the future, i.e., any elements developed that perform thesame function, regardless of structure.

Thus, for example, it will be appreciated by those skilled in the artthat the block diagrams presented herein represent conceptual views ofillustrative circuitry embodying the present principles. Similarly, itwill be appreciated that any flow charts, flow diagrams, statetransition diagrams, pseudocode, and the like represent variousprocesses which may be substantially represented in computer readablemedia and so executed by a computer or processor, whether or not suchcomputer or processor is explicitly shown.

The functions of the various elements shown in the figures may beprovided through the use of dedicated hardware as well as hardwarecapable of executing software in association with appropriate software.When provided by a processor, the functions may be provided by a singlededicated processor, by a single shared processor, or by a plurality ofindividual processors, some of which may be shared. Moreover, explicituse of the term “processor” or “controller” should not be construed torefer exclusively to hardware capable of executing software, and mayimplicitly include, without limitation, digital signal processor (“DSP”)hardware, read-only memory (“ROM”) for storing software, random accessmemory (“RAM”), and non-volatile storage.

Other hardware, conventional and/or custom, may also be included.Similarly, any switches shown in the figures are conceptual only. Theirfunction may be carried out through the operation of program logic,through dedicated logic, through the interaction of program control anddedicated logic, or even manually, the particular technique beingselectable by the implementer as more specifically understood from thecontext.

In the claims hereof, any element expressed as a means for performing aspecified function is intended to encompass any way of performing thatfunction including, for example, a) a combination of circuit elementsthat performs that function or b) software in any form, including,therefore, firmware, microcode or the like, combined with appropriatecircuitry for executing that software to perform the function. Thepresent principles as defined by such claims reside in the fact that thefunctionalities provided by the various recited means are combined andbrought together in the manner which the claims call for. It is thusregarded that any means that can provide those functionalities areequivalent to those shown herein.

Reference in the specification to “one embodiment” or “an embodiment” ofthe present principles means that a particular feature, structure,characteristic, and so forth described in connection with the embodimentis included in at least one embodiment of the present principles. Thus,the appearances of the phrase “in one embodiment” or “in an embodiment”appearing in various places throughout the specification are notnecessarily all referring to the same embodiment.

As used herein, “high level syntax” and “high level syntax element”interchangeably refer to syntax present in the bitstream that resideshierarchically above the macroblock layer. For example, high levelsyntax, as used herein, may refer to, but is not limited to, syntax atthe slice header level, Supplemental Enhancement Information (SEI)level, picture parameter set level, sequence parameter set level andnetwork abstraction layer (NAL) unit header level.

As used herein, “block level syntax” and “block level syntax element”interchangeably refer to syntax present in the bitstream that resideshierarchically at any of the possible coding units structured as a blockor partitions of a block in a video coding scheme. For example, blocklevel syntax, as used herein, may refer to, but is not limited to,syntax at the macroblock level, the 16×8 partition level, the 8×16partition level, the 8×8 sub-block level, and general partitions of anyof these. Moreover, block level syntax, as used herein, may also referto blocks issued from the union of smaller blocks (e.g., unions ofmacroblocks).

The phrase “image data” is intended to refer to data corresponding toany of still images and moving images (i.e., a sequence of imagesincluding motion).

It is to be appreciated that the use of the term “and/or”, for example,in the case of “A and/or B”, is intended to encompass the selection ofthe first listed option (A), the selection of the second listed option(B), or the selection of both options (A and B). As a further example,in the case of “A, B, and/or C”, such phrasing is intended to encompassthe selection of the first listed option (A), the selection of thesecond listed option (B), the selection of the third listed option (C),the selection of the first and the second listed options (A and B), theselection of the first and third listed options (A and C), the selectionof the second and third listed options (B and C), or the selection ofall three options (A and B and C). This may be extended, as readilyapparent by one of ordinary skill in this and related arts, for as manyitems listed.

Moreover, it is to be appreciated that while one or more embodiments ofthe present principles are described herein with respect to the MPEG-4AVC standard, the present principles are not limited to solely thisstandard and, thus, may be utilized with respect to other video codingstandards, recommendations, and extensions thereof, including extensionssuch as scalable (and non-scalable) extensions and/or multi-view (andnon-multi-view) extensions of the MPEG-4 AVC standard, while maintainingthe spirit of the present principles.

Turning to FIG. 3, a video encoder capable of performing video encodingin accordance with the MPEG-4 AVC standard, modified and/or extended foruse with the present principles, is indicated generally by the referencenumeral 300.

The video encoder 300 includes a frame ordering buffer 310 having anoutput in signal communication with a non-inverting input of a combiner385. An output of the combiner 385 is connected in signal communicationwith a first input of a transformer and quantizer 325. An output of thetransformer and quantizer 325 is connected in signal communication witha first input of an entropy coder 345 and a first input of an inversetransformer and inverse quantizer 350. An output of the entropy coder345 is connected in signal communication with a first non-invertinginput of a combiner 390. An output of the combiner 390 is connected insignal communication with a first input of an output buffer 335.

A first output of an encoder controller 305 is connected in signalcommunication with a second input of a frame ordering buffer 310, asecond input of the inverse transformer and inverse quantizer 350, aninput of a picture-type decision module 315, a first input of amacroblock-type (MB-type) decision module 320, a second input of anintra prediction module 360, a second input of a deblocking filter 365,a first input of a motion compensator 370, a first input of a motionestimator 375, a second input of a reference picture buffer 380, a firstinput of a sparsity de-noising filter, and a first input of aquantization constraint set (QCS) 355.

A second output of the encoder controller 305 is connected in signalcommunication with a first input of a Supplemental EnhancementInformation (SEI) inserter 330, a second input of the transformer andquantizer 325, a second input of the entropy coder 345, a second inputof the output buffer 335, and an input of the Sequence Parameter Set(SPS) and Picture Parameter Set (PPS) inserter 340.

A first output of the picture-type decision module 315 is connected insignal communication with a third input of the frame ordering buffer310. A second output of the picture-type decision module 315 isconnected in signal communication with a second input of amacroblock-type decision module 320.

An output of the Sequence Parameter Set (SPS) and Picture Parameter Set(PPS) inserter 340 is connected in signal communication with a thirdnon-inverting input of the combiner 390.

An output of the inverse quantizer and inverse transformer 350 isconnected in signal communication with a first non-inverting input of acombiner 319. An output of the combiner 319 is connected in signalcommunication with a first input of the intra prediction module 360 anda first input of the deblocking filter 365. An output of the deblockingfilter 365 is connected in signal communication with a second input ofthe sparsity de-noising filter 344. An output of the sparsity de-noisingfilter 344 is connected in signal communication with a second input ofthe quantization constraint set (QCS) 355. An output of the quantizationconstraint set (QCS) 355 is connected in signal communication with afirst input of the reference picture buffer 380. An output of thereference picture buffer 380 is connected in signal communication with asecond input of the motion estimator 375 and a second input of themotion compensator 370. A first output of the motion estimator 375 isconnected in signal communication with a third input of the motioncompensator 370. A second output of the motion estimator 375 isconnected in signal communication with a third input of the entropycoder 345.

An output of the motion compensator 370 is connected in signalcommunication with a first input of a switch 397. An output of the intraprediction module 360 is connected in signal communication with a secondinput of the switch 397. An output of the macroblock-type decisionmodule 320 is connected in signal communication with a third input ofthe switch 397. The third input of the switch 397 determines whether ornot the “data” input of the switch (as compared to the control input,i.e., the third input) is to be provided by the motion compensator 370or the intra prediction module 360. The output of the switch 397 isconnected in signal communication with a second non-inverting input ofthe combiner 319 and with an inverting input of the combiner 385.

Inputs of the frame ordering buffer 310 and the encoder controller 305are available as input of the encoder 300, for receiving an inputpicture 301. Moreover, an input of the Supplemental EnhancementInformation (SEI) inserter 330 is available as an input of the encoder300, for receiving metadata. An output of the output buffer 335 isavailable as an output of the encoder 300, for outputting a bitstream.

Turning to FIG. 4, a video decoder capable of performing video decodingin accordance with the MPEG-4 AVC standard, modified and/or extended foruse with the present principles, is indicated generally by the referencenumeral 400.

The video decoder 400 includes an input buffer 410 having an outputconnected in signal communication with a first input of the entropydecoder 445. A first output of the entropy decoder 445 is connected insignal communication with a first input of an inverse transformer andinverse quantizer 450. An output of the inverse transformer and inversequantizer 450 is connected in signal communication with a secondnon-inverting input of a combiner 425. An output of the combiner 425 isconnected in signal communication with a second input of a deblockingfilter 465 and a first input of an intra prediction module 460. Anoutput of the deblocking filter 465 is connected in signal communicationwith a first input of a sparsity de-noising filter 444. An output of thesparsity de-noising filter 444 is connected in signal communication witha first input of a quantization constraint set (QCS) 455. A first outputof the quantization constraint set (QCS) 455 is connected in signalcommunication with a first input of a reference picture buffer 480. Anoutput of the reference picture buffer 480 is connected in signalcommunication with a second input of a motion compensator 470.

A second output of the entropy decoder 445 is connected in signalcommunication with a third input of the motion compensator 470 and afirst input of the deblocking filter 465. A third output of the entropydecoder 445 is connected in signal communication with an input of adecoder controller 405. A first output of the decoder controller 405 isconnected in signal communication with a second input of the entropydecoder 445. A second output of the decoder controller 405 is connectedin signal communication with a second input of the inverse transformerand inverse quantizer 450. A third output of the decoder controller 405is connected in signal communication with a third input of thedeblocking filter 465, a second input of the sparsity de-noising filter444, and a second input of the quantization constraint set (QCS) 455. Afourth output of the decoder controller 405 is connected in signalcommunication with a second input of the intra prediction module 460,with a first input of the motion compensator 470, and with a secondinput of the reference picture buffer 480.

An output of the motion compensator 470 is connected in signalcommunication with a first input of a switch 497. An output of the intraprediction module 460 is connected in signal communication with a secondinput of the switch 497. An output of the switch 497 is connected insignal communication with a first non-inverting input of the combiner425.

An input of the input buffer 410 is available as an input of the decoder400, for receiving an input bitstream. A second output of thequantization constraint set (QCS) 455 is available as an output of thedecoder 400, for outputting an output picture.

With respect to the video decoder 400 of FIG. 4, it is to be appreciatedthat we can allow output pictures before the application of functionblock 465, or after the application of function 465, or afterapplication of the function block 444, or after application of thefunction block 455. That is, we can have the flexibility that thepicture for prediction in the reference buffer and the picture fordisplay are different, so we can have a better reference for prediction,and a sharper image for display.

As noted above, the present principles are directed to methods andapparatus for in-loop de-artifact filtering.

In an embodiment, we propose utilizing a succession of filters on codedpictures to reduce the amount of coding artifacts over video frames. Thefilters are placed in the coding loop (in-loop), so the filtered framesare used as referenced frames for motion compensation of subsequentcoded frames. At least one of the filters includes, for example, adeblocking filter, a de-ringing filter, a de-noising filter, a signalestimation filter, a linear filter, and/or a non-linear filter.

In an embodiment, we propose using two-pass filters. In the first pass,we apply an adaptive deblocking filter, which targets removing blockingartifacts. In the second pass, we apply an adaptive sparse de-noisingfilter, which can further reduce quantization noise over video framescomposed of locally uniform regions (smooth, high frequency, texture,and so forth). To further improve the result, we can enforce compressionconstraints including, but not limited to, quantization constraints, inorder to help restore the image to the artifact-free form.

One or more embodiments herein involve the use of two or more in-loopfilters (and/or two or more in-loop filtering passes) to remove orreduce quantization artifacts—the first filter (or filtering pass) toremove or reduce a first type (or group of types) of quantizationartifact and the second filter (or filtering pass) to remove or reduce asecond type (or group of types) of quantization artifact. It is to beappreciated that the use of even more in-loop filters (or filteringpasses) is also contemplated in accordance with embodiments of thepresent principles. That is, given the teachings of the presentprinciples provided herein, one of ordinary skill in this and relatedarts will contemplate these and various other implementations andvariations of the present principles, while maintaining the spirit ofthe present principles.

Therefore, in accordance with the principles of the present invention,we suggest using a succession of filters (or filtering passes) to removeor reduce a plurality of possible coding artifact types caused byquantization. If done in this way, different kinds of artifacts andquantization errors are handled by different filters. Hence, by suchcascaded filtering of reconstructed video pictures, the decoded sequenceis substantially better in both subjective and objective measures. Byincorporating this scheme into the encoder/decoder loop, also known asin-loop filtering, the inter prediction process can also benefit fromthe improvement of decoded reference pictures. Note that by using asuccession of filters, we are not limited to a particular set of generalor special purpose filters, a particular number of cascaded filters, oreven a particular order in which they are combined. Those parameters maybe adjusted based on, for example, the encoder and/or decoder to be usedand the nature of the video data to be filtered. To prevent the inputvideo signal being over processed, we can also enforce some compressionand/or quantization constraints.

An embodiment involves the use of a “two-pass” filter. Turning to FIG.5, an exemplary succession of de-artifact filters is indicated generallyby the reference numeral 500. An adaptive sparse de-noising filter 544is used as a refinement filter subsequent to the MPEG-4 AVC Standarddeblocking filter 565 and before the quantization constraint set (QCS)filter 555. Since visual blocking artifacts are most successfullyremoved by the deblocking filter, the remaining quantization noise tendsto become more independent and identically distributed (i.i.d.), whichconforms to the noise model assumption of an adaptive sparse de-noisingfilter. After applying the second-pass sparse de-noising filter 544, weuse the quantization constraint set filter 555 to reshape the residualsand prevent them from being over-processed. The quantization constraintset filter 555 is used to restrict each transform coefficient to itsoriginal quantization interval. This step helps prevent over-smoothing,and makes the outcome of the cascaded set of filters more robust tochanges in the settings of filters including, but not limited to,changes in the thresholding parameter for the sparse-based de-noisingstep.

The adaptive sparse de-noising filter 544 includes a forward transformer571 having an output in signal communication with an input of athreshold module 573. An output of the threshold module 573 is connectedin signal communication with an input of an inverse transformer 575. Anoutput of the inverse transformer 575 is connected in signalcommunication with an input of an adaptive weighting module 577. Aninput of the forward transformer is available as an input of the sparede-noising filter 544. An output of the adaptive weighting module 577 isavailable as an output of the spare de-noising filter 544. An output ofthe MPEG-4 AVC Standard deblocking filter 565 is connected in signalcommunication with the input of the forward transformer 571. The outputof the adaptive weighting module 577 is connected in signalcommunication with an input of the quantization constraint set filter555. An input of the MPEG-4 AVC Standard deblocking filter 565 isavailable as an input of the succession of de-artifact filters 500. Anoutput of the quantization constraint set filter 571 is available as anoutput of the succession of de-artifact filters 500.

As examples, FIGS. 3 and 4 illustrate where the adaptive sparsede-noising filter and the quantization constraint set filter may belocated within a video encoder structure and a video decoder structure,respectively. In the examples shown, the adaptive sparse de-noisingfilter and the quantization constraint set filter, one after the other,are located after the deblocking filter. Of course, given the teachingsof the present principles provided herein, one of ordinary skill in thisand related arts will contemplate this and other locations for theadaptive sparse de-noising filter and the quantization constraint setfilter, while maintaining the spirit of the present principles.

In an embodiment, the adaptive sparse de-noising filter and/or thequantization constraint set filter can be turned on/off at themacroblock level, slice level, picture level, and/or sequence level. Forexample, we may choose to only apply the sparse de-noising filter andthe quantization constraint set filter for intra frames, but not forinter frames.

In an embodiment, the different artifact removing/reducing steps may beselectively switched on/off depending on complexity constraints of theapplication, distortion measures and/or coding costs. The transform forthe sparse de-noising step can be adaptively selected from a set ofpossible transforms. The selected transform can be indicated andsignaled to the decoder using a high level syntax. A proper threshold γcan be signaled to optimize the adaptive sparse de-noising filtering.The signaled threshold γ may need to be adapted to the quantizationparameter as well as to the sequence content. The optimal weightingmethod can also be signaled to maximize the de-noising gain.

TABLE 1 shows exemplary picture parameter set (PPS) raw byte sequencepayload (RBSP) syntax for use in in-loop de-artifact filtering inaccordance with an embodiment of the present principles.

TABLE 1 C Descriptor pic_parameter_set_rbsp( ) { ... sparse _(—) filter_(—) control _(—) present _(—) flag 1 u(1) qcs _(—) control _(—) present_(—) flag 1 u(1) ... }

TABLE 2 shows exemplary slice header syntax for use in in-loopde-artifact filtering in accordance with an embodiment of the presentprinciples.

TABLE 2 C Descriptor slice_header( ) { ... if(sparse_filter_control_present_flag ) { disable _(—) sparse _(—) filter_(—) flag 2 u(1) if( disable_sparse_filter_flag != 1 ) { sparse _(—)threshold 2 u(v) sparse _(—) tranform _(—) type 2 u(v) adaptive _(—)weighting _(—) type 2 u(v) } } if( qcs_control_present_flag ) { disable_(—) qcs _(—) flag 2 u(1) if( disable_qcs _flag != 1 ) { qcs _(—)pullback _(—) model 2 u(v) } } ... }

With respect to TABLES 1 and 2, the following exemplary syntaxdefinitions are provided. Of course, given the teachings of the presentprinciples provided herein, one of ordinary skill in this and relatedarts will contemplate these and various other syntaxes and variationsthereof for use in accordance with various embodiments of the presentprinciples, while maintaining the spirit of the present principles.

sparse_filter_control_present_flag equal to 1 specifies that a set ofsyntax elements controlling the characteristics of the sparse de-noisingfilter is present in the slice header.sparse_filter_control_present_flag equal to 0 specifies that a set ofsyntax elements controlling the characteristics of the sparse de-noisingfilter is not present in the slice header and their inferred values arein effect.

qcs_control_present_flag equal to 1 specifies that a set of syntaxelements controlling the characteristics of the quantization constraintset (QCS) filter is present in the slice header.qcs_control_present_flag equal to 0 specifies that a set of syntaxelements controlling the characteristics of the quantization constraintset (QCS) filter is not present in the slice header and their inferredvalues are in effect.

disable_sparse_filter_flag specifies whether the operation of the sparsede-noising filter shall be disabled. When disable_sparse_filter_flag isnot present in the slice header, disable_sparse_filter_flag shall beinferred to be equal to 0.

sparse_threshold specifies the value of threshold used in sparsede-noising. When sparse_threshold is not present in the slice header,the default value derived based on the slice quantization parameter isused.

sparse_transform_type specifies the type of the transform used in sparsede-noising. sparse_transform_type equal to 0 specifies that a 4×4transform is used. sparse_transform_type equal to 1 specifies that a 8×8transform is used.

adaptive_weighting_type specifies the type of weighting used in sparsede-noising. adaptive_weighting_type equal to 0 specifies that sparsityweighting is used. adaptive_weighting_type equal to 1 specifies thataverage weighting is used.

disable_qcs_flag specifies whether the operation of the quantizationconstraint set (QCS) filter shall be disabled. When disable_qcs_flag isnot present in the slice header, disable_qcs_flag shall be inferred tobe equal to 0.

qcs_pullback_model specifies how to re-assign the value of coefficients.qcs_pullback_model equal to 0 specifies to pull back the coefficients tothe closest cell boundary (An example of pulling back to the closet cell(or quantization bin) boundary is shown in the last row of FIG. 9,described below.). qcs_pullback_model equal to 1 specifies to pull backthe coefficients to the center (also see FIG., if the quantizedcoefficient value is used instead) or predefined value of a cell.

In an embodiment, an adaptive sparse de-noising filter operationinvolves the following steps.

In one step, an over complete transform set H_(i), i=1, . . . , M isdetermined. The information related to this particular set may betransmitted to the decoder. The information may be so transmitted at,for example, a slice, picture and/or sequence level. In transmittingsuch information, high level syntax may be embedded in the data stream.The high level syntax may be embedded, for example, at the slice,picture and/or sequence level. For example, within the framework of theMPEG-4 AVC Standard, we can reuse the existing 4×4 transform and 8×8transform and/or the Hadamard transform step.

In another step, a threshold γ (for example, based on a quantizationstep and/or the statistics of the encoding picture) is determined. γ maybe transmitted to the decoder. γ may be transmitted at, for example, ablock, a slice, a picture and/or a sequence level. In transmitting suchinformation, at least one block level syntax and/or at least one highlevel syntax may be embedded in the data stream.

In yet another step, the adaptive weighting method to combine theoutcome of the inversed transforms, which may be transmitted to thedecoder, is determined. The weights may be transmitted at, for example,a block a slice, picture and/or sequence level. In the event that theweighting is directly derived without explicit transmission thereof,there may still be a need to transmit some auxiliary information relatedto the weighting step. In transmitting any weighting step information,at least one block level syntax and/or at least one high level syntaxmay be embedded in the data stream. For example, average weighting orsparsity base weighting, which adapts the weights inverse of number ofnon-zero coefficients, can be used. Of course, the present principlesare not limited to solely the preceding types of weighting and, thus,other types of weighting may also be used in accordance with the presentprinciples, while maintaining the spirit of the present principles.

In an embodiment, an adaptive sparse de-noising filter methodology usedfor refinement involves obtaining the de-noised estimate {circumflexover (x)}_(i) from each transform H_(i) using the specified threshold γ;and combining {circumflex over (x)}_(i) using adaptive weightings to getthe final de-noised estimate {circumflex over (x)}.

In an embodiment, a quantization constraint set methodology is used fora last refinement step as follows:

(1) Calculate the new residual signal {circumflex over (r)}={circumflexover (x)}−p, where p is the intra/inter predicted signal.

(2) Apply the same transformation process on {circumflex over (r)} thatthe MPEG-4 AVC Standard applies on the residual. Presume that theresulting transform coefficients are ĉ.

(3) Check if ĉ is in the quantization cell indicated by the originallyreceived transform coefficients. For each coefficient, if after thefiltering steps, ĉ has fallen outside its original quantization cell,the new coefficient is corrected and reassigned as the closest originalquantization cell boundary value to itself. Alternatively, depending onthe statistics of every particular coefficient and/or quantization bin,other possible values from within the original quantization cell can beused for the reassignment procedure. The refined coefficients aredenoted as c′.

(4) Take the inverse transform of c′, denoted by r′, and sum togetherwith p to obtain the final estimate x′=p+r′.

The adaptive sparse de-noising filtering is directed to recovering theoriginal signal from an independent and identically distributed (i.i.d.)noisy environment. However, the quantization noise in video compression,and particularly with respect to the MPEG-4 AVC Standard, is usually notindependent and identically distributed (i.i.d.). The present principlesdiffer from the prior art in the use of a series of refinement steps(succession of filters) after, for example, the MPEG-4 AVC Standarddeblocking filter, each oriented to correct at least one part of thecoding artifacts. The signal after deblocking filter is a better matchto the independent and identically distributed (i.i.d.) noisepresumption. The possible “over filtering problem” resulting from theuse and/or combination of deblocking and de-noising filters is solved bythe subsequent quantization constraint set (QCS) filter. The successionof filters has shown its superior performance in removing videocompression artifacts, both in practice and theory.

Turning to FIG. 6, an exemplary method for encoding image data usingin-loop de-artifact filtering is indicated generally by the referencenumeral 600.

The method 600 includes a start block 605 that passes control to afunction block 610. The function block 610 encodes the current slice,and passes control to a function block 615. The function block 615decides whether or not a deblocking filter, a sparse de-noising filter,and/or quantization constraint set (QCS) will be applied to the currentslice based on statistics of the current slice, and passes control to adecision block 620. The decision block 620 determines whether or notdisable_deblocking_filter_ids is equal to zero. If so, then control ispassed to a function block 625. Otherwise, control is passed to adecision block 630.

The function block 625 applies a deblocking filter, and passes controlto the decision block 630.

The decision block 630 determines whether or notdisable_sparse_filter_flag is equal to zero. If so, then control ispassed to a function block 635. Otherwise, control is passed to adecision block 640.

The function block 635 applies the sparsity de-noising filter, andpasses control to the decision block 640.

The decision block 640 determines whether or not diable_qcs_flag isequal to zero. If so, then control is passed to a function block 645.Otherwise, control is passed to an end block 699.

The function block 645 applies the quantization constraint set (QCS),and passes control to the end block 699.

Turning to FIG. 7, an exemplary method for decoding image data usingin-loop de-artifact filtering is indicated generally by the referencenumeral 700.

The method 700 includes a start block 705 that passes control to afunction block 710. The function block 710 parses the bitstream, decodesthe syntax, and passes control to a function block 715. The functionblock 715 decodes the current slice, and passes control to a decisionblock 720. The decision block 720 determines whether or notdiable_deblocking_filter_idc is equal to zero. If so, then control ispassed to a function block 725. Otherwise, control is passed to adecision block 730.

The function block 725 applies the deblocking filter, and passes controlto the decision block 730.

The decision block 730 determines whether or notdisable_sparse_filter_flag is equal to zero. If so, then control ispassed to a function block 735. Otherwise, control is passed to adecision block 740.

The function block 735 applies the sparsity de-noising filter, andpasses control to the decision block 740.

The decision block 740 determines whether or not diable_qcs_flag isequal to zero. If so, then control is passed to a function block 745.Otherwise, control is passed to an end block 799.

The function block 745 applies a quantization constraint set (QCS), andpasses control to the end block 799.

Turning to FIG. 8, an exemplary apparatus for performing quantizationconstraint set (QCS) coefficients correction after artifactremoval/reduction is indicated generally by the reference numeral 800.The apparatus 800 includes a combiner 805 having an output in signalcommunication with an input of a MPEG-4 AVC transformer 810. An outputof the MPEG-4 AVC Standard transformer 810 is connected in signalcommunication with a first input of a comparison and correction module815. An output of the comparison and correction module 815 is connectedin signal communication with an input of a MPEG-4 AVC inversetransformer 820. An output of the MPEG-4 AVC inverse transformer 820 isconnected in signal communication with a first non-inverting input of acombiner 825.

A non-inverting input of the combiner 805 is available as an input ofthe apparatus 800, for receiving a reconstructed and filtered videopicture. An inverting input of the combiner 805 is available as an inputof the apparatus 800, for receiving a predicted video picture. A secondinput of the compare and correct module 815 is available as an input ofthe apparatus 800, for receiving quantization bins pattern. A thirdinput of the compare and correct module 815 is available as an input ofthe apparatus 800, for receiving decoded coefficients. A secondnon-inverting input of the combiner 825 is available as an input of theapparatus, for receiving a predicted video picture. An output of thecombiner 825 is available as an output of the apparatus, for outputtinga reconstructed and filtered and quantization constraint set (QCS)corrected video picture.

The MPEG-4 AVC transformer 810 is applied to the decoded residual. TheMPEG-4 AVC inverse transformer 820 is applied to the decoded residual.The compare and correct module 815 compares the decoded and filteredpictures in the transform domain and corrects the coefficients that areover-filtered.

Turning to FIG. 9, exemplary quantization bins for using QCS to correctan over-filtering problem in video encoding/decoding is indicatedgenerally by the reference numeral 900. Presume the original value is x,and the boundary value of the quantizer is y_(i), i=0, 1, 2 . . . n, . .. . The particular bins are denoted by 910, 920, 930, and 940. In bin910, x is in the quantization bin of (y_(n−1), y_(n)]. In bin 920, afterthe quantization process in the encoder, the reconstruction value of xis x′, which is in the quantization bin of (y_(n−1), y_(n)]. In bin 930,after the de-artifacting process, the filtered coefficient of x is x″,which is in the quantization bin of (y_(n), y_(n+1)]. However, thecoefficient should not be outside the original quantization bin, whichis (y_(n−1), y_(n)]. In bin 940, we apply the QCS process, and we setx′″ equal to y_(n), which is the final reconstructed value.

A description will now be given of some of the many attendantadvantages/features of the present invention, some of which have beenmentioned above. For example, one advantage/feature is an apparatus thatincludes an encoder for encoding an image region. The encoder has atleast two filters for successively performing in-loop filtering torespectively reduce at least a first and a second type of quantizationartifact.

Another advantage/feature is the apparatus having the encoder that, inturn, has at least two filters as described above, wherein at least oneof the at least two filters is used to enforce at least one compressionconstraint.

Yet another advantage/feature is the apparatus having the encoder that,in turn, has at least two filters wherein at least one of the at leasttwo filters is used to enforce at least one compression constraint asdescribed above, wherein the at least one compression constraintinvolves a quantization constraint set.

Still another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters wherein at least one of the atleast two filters is used to enforce at least one compression constraintas described above, wherein at least one of, enablement information ordisablement information for the at least one compression constraint andside information corresponding to the image region to adaptivelyindicate parameters of the at least one compression constraint, issignaled using at least one of at least one high level syntax elementand at least one block level syntax element.

Moreover, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters wherein at least one of the atleast two filters is used to enforce at least one compression constraintas described above, wherein parameters of the at least one compressionconstraint is adaptively indicated based at least in part on at leastone of data characteristics and data statistics corresponding to theimage region.

Further, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters as described above, wherein atleast one of the at least two filters includes a deblocking filter, ade-ringing filter, a de-noising filter, a signal estimation filter, alinear filter, and a non-linear filter.

Also, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters as described above, wherein atotal number, a type, and an order of implementation of the at least twofilters is dynamically selectable.

Additionally, another advantage/feature is the apparatus having theencoder that, in turn, has at least two filters as described above,wherein at least one of the two or more filters is adaptively enabled ordisabled depending upon at least one of data characteristics and datastatistics corresponding to the image region.

Moreover, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters as described above, whereinenablement information or disablement information for at least one ofthe two or more filters is signaled using at least one of at least onehigh level syntax element and at least one block level syntax element.

Further, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters as described above, wherein theencoder transmits side information corresponding to the image region toadaptively indicate parameters of at least one of the two or morefilters, the side information being transmitted at at least one of amacroblock level, a slice level, a picture level, and a sequence level.

Also, another advantage/feature is the apparatus having the encoder thattransmits side information as described above, wherein the parameters ofthe at least one of the two or more filters are adaptively tuned basedat least in part on at least one of data characteristics and datastatistics corresponding to the image region.

Additionally, another advantage/feature is the apparatus having theencoder that, in turn, has at least two filters as described above,wherein the two or more filters are included in a two-pass filter, thetwo-pass filter having a deblocking filter for performing a first passto reduce blocking artifacts as the first type of quantization artifactand a sparse de-noising filter for performing a second pass to reducenoise as the second type of quantization artifact.

Moreover, another advantage/feature is the apparatus having the encoderthat, in turn, has at least two filters wherein the two or more filtersare included in a two-pass filter as described above, wherein theencoder enforces a quantization constraint set subsequent to the secondpass.

Further, another advantage/feature is the apparatus having the encoderwherein the two or more filters are included in a two-pass filter asdescribed above, wherein the encoder signals a quantization constraintprocess pullback method using at least one of at least one high levelsyntax element and at least one block level syntax element.

Also, another advantage/feature is the apparatus having the encoderwherein the two or more filters are included in a two-pass filter asdescribed above, wherein the encoder signals at least one of a transformtype, a threshold, and a weighting method for the sparse de-noisingfilter in at least one of at least one high level syntax element and atleast one block level syntax element.

Additionally, another advantage/feature is the apparatus having theencoder that, in turn, has at least two filters as described above,wherein the at least two filters are in-loop filters corresponding toencoding the image region, and wherein a version of the image regionthat is displayed is different from at least one of an output signalcorresponding to the image region after the at least two in-loop filtersand the initial input signal corresponding to the image region beforethe at least two in-loop filters.

These and other features and advantages of the present principles may bereadily ascertained by one of ordinary skill in the pertinent art basedon the teachings herein. It is to be understood that the teachings ofthe present principles may be implemented in various forms of hardware,software, firmware, special purpose processors, or combinations thereof.

Most preferably, the teachings of the present principles are implementedas a combination of hardware and software. Moreover, the software may beimplemented as an application program tangibly embodied on a programstorage unit. The application program may be uploaded to, and executedby, a machine comprising any suitable architecture. Preferably, themachine is implemented on a computer platform having hardware such asone or more central processing units (“CPU”), a random access memory(“RAM”), and input/output (“I/O”) interfaces. The computer platform mayalso include an operating system and microinstruction code. The variousprocesses and functions described herein may be either part of themicroinstruction code or part of the application program, or anycombination thereof, which may be executed by a CPU. In addition,various other peripheral units may be connected to the computer platformsuch as an additional data storage unit and a printing unit.

It is to be further understood that, because some of the constituentsystem components and methods depicted in the accompanying drawings arepreferably implemented in software, the actual connections between thesystem components or the process function blocks may differ dependingupon the manner in which the present principles are programmed. Giventhe teachings herein, one of ordinary skill in the pertinent art will beable to contemplate these and similar implementations or configurationsof the present principles.

Although the illustrative embodiments have been described herein withreference to the accompanying drawings, it is to be understood that thepresent principles is not limited to those precise embodiments, and thatvarious changes and modifications may be effected therein by one ofordinary skill in the pertinent art without departing from the scope orspirit of the present principles. All such changes and modifications areintended to be included within the scope of the present principles asset forth in the appended claims.

The invention claimed is:
 1. A method comprising: decoding an imageregion, wherein the decoding includes obtaining a flag that indicateswhether to enable or disable an adaptive sparse de-noising filter at agiven level, the given level being at least a macroblock level, a slicelevel, a picture level or a sequence level, and performing in-loopfiltering using at least two filters in succession, the at least twofilters including a deblocking filter for performing a first pass andthe adaptive sparse de-noising filter for performing a second pass,wherein the decoding of the image region selectively enables or disablesthe adaptive sparse de-noising filter based on the flag.
 2. The methodof claim 1, wherein at least one of the at least two filters is used toenforce at least one compression constraint.
 3. The method of claim 1,wherein at least one of the at least two filters is adaptively enabledor disabled depending upon at least data characteristics correspondingto the image region or data statistics corresponding to the imageregion.
 4. A non-transitory computer readable medium with instructionsstored therein which, upon execution, instruct at least one processorto: decode an image region, wherein the decoding includes decoding aflag that indicates whether to enable or disable an adaptive sparsede-noising filter at a given level, the given level being at least amacroblock level, a slice level, a picture level or a sequence level,and perform in-loop filtering using at least two filters in succession,the at least two filters including a deblocking filter for performing afirst pass and the adaptive sparse de-noising filer for performing asecond pass, wherein the decoding of the image region selectivelyenables or disables the adaptive sparse de-noising filter based on theflag.
 5. The non-transitory computer readable medium of claim 4, whereinat least one of the at least two filters is used to enforce at least onecompression constraint.
 6. The non-transitory computer readable mediumof claim 4, wherein at least one of the at least two filters isadaptively enabled or disabled depending upon at least datacharacteristics corresponding to the image region or data statisticscorresponding to the image region.
 7. A method comprising: receiving asignal that comprises a flag that indicates whether to enable or disablean adaptive sparse de-noising filter at a given level, the given levelbeing at least a macroblock level, a slice level, a picture level or asequence level; and decoding an image region, wherein the decoding animage region includes performing in-loop filtering using at least twofilters in succession, the at least two filters including a deblockingfilter for performing a first pass and the adaptive sparse de-noisingfilter for performing a second pass, wherein the decoding of the imageregion selectively enables or disables the adaptive sparse de-noisingfilter based on said flag.
 8. The method of claim 7, wherein at leastone of the at least two filters is used to enforce at least onecompression constraint.
 9. The method of claim 7, wherein at least oneof the at least two filters is adaptively enabled or disabled dependingupon at least data characteristics corresponding to the image region ordata statistics corresponding to the image region.
 10. An apparatuscomprising at least a memory and one or more processors, the one or moreprocessors being configured to: receive a signal that comprises a flagthat indicates whether to enable or disable an adaptive sparsede-noising filter at a given level, the given level being at least amacroblock level, a slice level, a picture level or a sequence level;and decode an image region, by performing in-loop filtering using atleast two filters in succession, the at least two filters including adeblocking filter for performing a first pass and the adaptive sparsede-noising filter for performing a second pass, wherein the decoding ofsaid image region selectively enables or disables the adaptive sparsede-noising filter based on said flag.
 11. The apparatus of claim 10,wherein at least one of the at least two filters is used to enforce atleast one compression constraint.
 12. The apparatus of claim 10, whereinat least one of the at least two filters is adaptively enabled ordisabled depending upon at least data characteristics corresponding tothe image region or data statistics corresponding to the image region.13. An apparatus comprising at least a memory and one or more processorsconfigured to decode an image region, the one or more processors beingconfigured to decode the image region by performing at least thefollowing: decode a flag that indicates whether to enable or disable anadaptive sparse de-noising filter at a given level, the given levelbeing at least a macroblock level, a slice level, a picture level or asequence level; and successively perform in-loop filtering with at leasttwo filters, the at least two filters including a deblocking filter forperforming a first pass and the adaptive sparse de-noising filter forperforming a second pass, wherein the decoding of the image regionselectively enables or disables the adaptive sparse de-noising filterbased on the flag.
 14. The apparatus of claim 13, wherein at least oneof the at least two filters is used to enforce at least one compressionconstraint.
 15. The apparatus of claim 13, wherein at least one of theat least two filters is adaptively enabled or disabled depending upon atleast data characteristics corresponding to the image region or datastatistics corresponding to the image region.
 16. An apparatuscomprising at least a memory and one or more processors, the one or moreprocessors being configured to: receive a signal that comprises an imageregion and a flag, wherein the flag indicates whether to enable ordisable an adaptive sparse de-noising filter at a given level, the givenlevel being at least a macroblock level, a slice level, a picture levelor a sequence level; decode the flag that indicates whether to enable ordisable an adaptive sparse de- noising filter at a given level, thegiven level being at least a macroblock level, a slice level, a picturelevel or a sequence level; and decode the image region by, at least,successively performing in-loop filtering using at least two filters,the at least two filters including a deblocking filter for performing afirst pass and the adaptive sparse de-noising filter for performing asecond pass, wherein the decoding of the image region selectivelyenables or disables the adaptive sparse de-noising filter based on theflag.
 17. The apparatus of claim 16, wherein at least one of the atleast two filters is used to enforce at least one compressionconstraint.
 18. The apparatus of claim 16, wherein at least one of theat least two filters is adaptively enabled or disabled depending upon atleast data characteristics corresponding to the image region or datastatistics corresponding to the image region.